As demonstrated in Fig. REF (a), single-stream network is the standard architecture of CNNs based attention models, which is opted by many saliency detection works [1]}, [2]}, [3]}, [4]}. All other kinds of deep learning architectures can be viewed as variations of single-stream network.
It has been proved that saliency cues on different level and scales are important in saliency detection [5]}. Incorporating multi-scale feature representations of neural
networks into attention models is a natural choice. In the following variation of single-stream network, namely multi-stream network, the modifications are performed in this line.
